29 March 2004 Effects of nonlinear elaborations on the performance of a Reichardt correlator
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Abstract
Flying insects are capable of performing complex and extremely diffcult navigational tasks at high speeds with amazing ability. The neural computations underlying these complicated maneuvers and the motor activity of the insects have been extensively investigated in the last few decades.1-5 One the most important discovery was that the motion detectors involved in the control of the optomotor responses are of the correlation type.6 In order to improve the velocity estimation by the Reichardt correlators, many scientists have come up with different kinds of elaborations to the basic Reichardt correlator model. In this paper, we have expanded the Dror’s elaborated Reichardt model7 and we have included feedback adaptation and saturation in our model and we have conducted a comparative study on the effects of the addition of each elaboration on the performance of the model. The relative error in each case is also studied.
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Sreeja Rajesh, David O'Carroll, Derek Abbott, "Effects of nonlinear elaborations on the performance of a Reichardt correlator", Proc. SPIE 5275, BioMEMS and Nanotechnology, (29 March 2004); doi: 10.1117/12.525433; https://doi.org/10.1117/12.525433
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